{"references": ["Planes S, Allemand D, Agostini S, Banaigs B, Boissin E, Boss E, Bourdin G, Bowler C, Douville E, Flores JM, Forcioli D, Furla P, Galand PE, Ghiglione J-F, Gilson E, Lombard F, Moulin C, Pesant S, Poulain J, Reynaud S, Romac S, Sullivan MB, Sunagawa S, Thomas OP, Troubl\u00e9 R, de Vargas C, Vega Thurber R, Voolstra CR, Wincker P, Zoccola D, the Tara Pacific Consortium (2019) The Tara Pacific expedition\u2014A pan-ecosystemic approach of the \"-omics\" complexity of coral reef holobionts across the Pacific Ocean. PLOS Biology 17:e3000483. doi: 10.1371/journal.pbio.3000483", "Gorsky G, Bourdin G, Lombard F, Pedrotti ML, Audrain S, Bin N, Boss E, Bowler C, Cassar N, Caudan L, Chabot G, Cohen NR, Cron D, De Vargas C, Dolan JR, Douville E, Elineau A, Flores JM, Ghiglione JF, Ha\u00ebntjens N, Hertau M, John SG, Kelly RL, Koren I, Lin Y, Marie D, Moulin C, Moucherie Y, Pesant S, Picheral M, Poulain J, Pujo-Pay M, Reverdin G, Romac S, Sullivan MB, Trainic M, Tressol M, Troubl\u00e9 R, Vardi A, Voolstra CR, Wincker P, Agostini S, Banaigs B, Boissin E, Forcioli D, Furla P, Galand PE, Gilson E, Reynaud S, Sunagawa S, Thomas OP, Thurber RLV, Zoccola D, Planes S, Allemand D, Karsenti E (2019) Expanding Tara Oceans Protocols for Underway, Ecosystemic Sampling of the Ocean-Atmosphere Interface During Tara Pacific Expedition (2016\u20132018). Frontiers in Marine Science 6:750. doi: 10.3389/fmars.2019.00750", "Flores JM, Bourdin G, Altaratz O, Trainic M, Lang-Yona N, Dzimban E, Steinau S, Tettich F, Planes S, Allemand D, Agostini S, Banaigs B, Boissin E, Boss E, Douville E, Forcioli D, Furla P, Galand PE, Sullivan MB, Gilson \u00c9, Lombard F, Moulin C, Pesant S, Poulain J, Reynaud S, Romac S, Sunagawa S, Thomas OP, Troubl\u00e9 R, de Vargas C, Thurber RV, Voolstra CR, Wincker P, Zoccola D, Bowler C, Gorsky G, Rudich Y, Vardi A, Koren I (2020) Tara Pacific Expedition's Atmospheric Measurements of Marine Aerosols across the Atlantic and Pacific Oceans: Overview and Preliminary Results. Bulletin of the American Meteorological Society 101:E536\u2013E554. doi: 10.1175/BAMS-D-18-0224.1", "Fabien Lombard, Guillaume Bourdin, Stephane Pesant, Emilie Boissin, Julie Poulain, Sarah Romac, Maria Luiza Pedrotti, Nicolas Cassar, Pascal Conan, Eric Douville, J. Michel Flores, Seth G. John, Rachel L. Kelly, Yajuan Lin, Dominique Marie, Mireille Pujo-Pay, Jean Fran\u00e7ois Ghiglione, Gilles Reverdin, Alberto Baudena, Oph\u00e9lie Da Silva, Christian R. Voolstra, David A. Paz-Garc\u00edax, Zo\u00e9 Meriguet, Amanda Elineau, Laetitia Jalabert, Ilan Koren, Assaf Vardi, Benjamin C.C. Hume , Megan Clampitt, Sylvain Agostini, Ryan McMinds, Eric R\u00f6ttinger, Celine Dimier, Josephine Ras, Cl\u00e9mentine Moulin, Guillaume Iwankow, Bernard Banaigs, Chris Bowler, Didier Forcioli, Paola Furla, Pierre E. Galand, Eric Gilson, St\u00e9phanie Reynaud, Matthew B. Sullivan, Shinichi Sunagawa, Olivier Thomas, Romain Troubl\u00e9, Rebecca Vega Thurber, Patrick Wincker, Didier Zoccola, Denis Allemand, Serge Planes, Colomban de Vargas, Emmanuel Boss, Gaby Gorsky (in preparation for Scientific Data) Open science resources from the Tara Pacific expedition across the surface ocean and coral reef ecosystems"]}

This dataset provide a site level-compilation of previous datasets provided at the event level (see https://zenodo.org/record/6445609#.YlP8B5NByEA). In some cases, certain parameters were not available at specific sampling sites due to technical issues or sensor availability, however, various basin scale studies and statistical tests require a complete dataset for all sampled sites. During the Tara Pacific expedition, many parameters were concurrently measured in-situ, estimated from remote sensing and/or modeled. For instance, sea surface temperature was measured on the boat using the thermosalinograph included in the underway system, but also with satellite and estimated from a model. Each of these three modes of acquisition have their caveat and accuracy, however, within a certain confidence interval, missing in-situ data can be replaced by its remotely sensed or modeled equivalent. We provide here a simplified version at the sampling site level by replacing missing in-situ data by their closest and most accurate satellite or modeled equivalent. In each case, in-situ data was considered as the most accurate source of data, with a preference to HPLC pigments analysis followed by measurements done by the ACS, while satellite and modeled data were used only if in-situ data was not available. We evaluated the accuracy of ACS and of each satellite and modeled datasets by linear regressions with their in-situ counterparts. A bias of the modeled or satellite data was identified when the slope of the regression was different to 1 and/or an intercept was different to 0. The satellite and modeled data were forced to match the in-situ data by dividing by the slope and subtracting the intercept. This is the case for SST. When large bias persisted between matchups with observations, the corrected data was not used to replace missing in-situ data. This is the case for chl. The same approach was then applied to fill missing data with modeled values (MERCATOR-Copernicus). A correction for the bias in the following variable was applied for SST, SSS, PO4, and SiOH. As previously done, if large bias persisted between observations and corrected data, they were not used to replace missing in-situ data. This is the case for chl, NO3, and Fe. The [MTE] samples were sometimes sampled in the afternoon instead of the morning alongside all the other water samples, thus were located in between two sampling stations. These [MTE] samples could not be assigned to a sampling station following the criterion presented in the section 3, therefore, the missing values of the corresponding morning stations were interpolated linearly. The same approach was used for pH measurements, with a preference from measurements provided by total carbonate system quantifications, followed by direct pH measurements and then modeled values (MERCATOR-Copernicus).